Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
31
Online and Social Networking Interventions for the Treatment of Depression in Young People: A Systematic Review
Simon M. Rice, Joanne Goodall, Sarah E. Hetrick, Alexandra G. Parker, Tamsyn Gilbertson, G. Paul Amminger, Christopher G. Davey, Patrick D. McGorry, John Gleeson, Mario Alvarez-Jimenez
J Med Internet Res 2014;16(9):e206
(Sep 16, 2014)
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18 111.59 0.00 18 75
 
 
32
Online Social Networks That Connect Users to Physical Activity Partners: A Review and Descriptive Analysis
Atul Nakhasi, Album Xiaotian Shen, Ralph Joseph Passarella, Lawrence J Appel, Cheryl AM Anderson
J Med Internet Res 2014;16(6):e153
(Jun 16, 2014)
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3 3.00 0.00 18 95
 
 
33
Real-Time Sharing and Expression of Migraine Headache Suffering on Twitter: A Cross-Sectional Infodemiology Study
Thiago D Nascimento, Marcos F DosSantos, Theodora Danciu, Misty DeBoer, Hendrik van Holsbeeck, Sarah R Lucas, Christine Aiello, Leen Khatib, MaryCatherine A Bender, UMSoD (Under)Graduate Class Of 2014, Jon-Kar Zubieta, Alexandre F DaSilva
J Med Internet Res 2014;16(4):e96
(Apr 3, 2014)
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1 1.00 0.00 18 100
 
 
34
Behavior Change Techniques Implemented in Electronic Lifestyle Activity Monitors: A Systematic Content Analysis
Elizabeth J Lyons, Zakkoyya H Lewis, Brian G Mayrsohn, Jennifer L Rowland
J Med Internet Res 2014;16(8):e192
(Aug 15, 2014)
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33 33.00 0.00 17 85
 
 
35
Infodemiology and Infoveillance: Framework for an Emerging Set of Public Health Informatics Methods to Analyze Search, Communication and Publication Behavior on the Internet
Gunther Eysenbach
J Med Internet Res 2009;11(1):e11
(Mar 27, 2009)
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2 2.00 0.00 17 100
 
 
36
Effects of Functional Interactivity on Patients’ Knowledge, Empowerment, and Health Outcomes: An Experimental Model-Driven Evaluation of a Web-Based Intervention
Luca Camerini, Peter Johannes Schulz
J Med Internet Res 2012;14(4):e105
(Jul 18, 2012)
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1 1.00 0.00 15 70
 
 
37
Changes Over Time in the Utilization of Disease-Related Internet Information in Newly Diagnosed Breast Cancer Patients 2007 to 2013
Christoph Kowalski, Eva Kahana, Kathrin Kuhr, Lena Ansmann, Holger Pfaff
J Med Internet Res 2014;16(8):e195
(Aug 26, 2014)
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16 19.08 0.00 14 80
 
 
38
Effects of Internet Use on Health and Depression: A Longitudinal Study
Katie Bessière, Sarah Pressman, Sara Kiesler, Robert Kraut
J Med Internet Res 2010;12(1):e6
(Mar 12, 2010)
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1 1.00 0.00 14 60
 
 
39
Facebook Apps for Smoking Cessation: A Review of Content and Adherence to Evidence-Based Guidelines
Megan A Jacobs, Caroline O Cobb, Lorien Abroms, Amanda L Graham
J Med Internet Res 2014;16(9):e205
(Sep 9, 2014)
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13 33.58 0.00 13 70
 
 
40
Assessing the Internal and External Validity of Mobile Health Physical Activity Promotion Interventions: A Systematic Literature Review Using the RE-AIM Framework
Kacie CA Blackman, Jamie Zoellner, Leanna M Berrey, Ramine Alexander, Jason Fanning, Jennie L Hill, Paul A Estabrooks
J Med Internet Res 2013;15(10):e224
(Oct 4, 2013)
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2 2.00 0.00 12 65
 
 
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Total Tweets
 
Tweets per Month
 
Tweets Influence Factor
 
Twimpact Factor (TWIF) tw7
 
Twindex7

A Tweets per month statistic may be artifically inflated for newly published articles

B Tweets Influence Factor (TIF): number of tweets x avg. influence of tweeters (influence is determined by how often all tweets of that person are retweeted by others)

C Twimpact Factor (TWIF) tw7: Number of mentionings in tweets (tweetations) within first 7 days after article publication (Eysenbach 2011)

D Twindex7 (Eysenbach 2011): Rank percentile of this article when its twimpact factor (tw7) is compared to 19 previously published articles. Range 0-100, with higher scores reflecting higher impact on Twitter. Articles with a Twindex greater than 75 have a 75% chance of being highly cited (top quartile by citation), articles with a Twindex less than 75 have a 7% chance to be highly cited.